Virtual Microscopy for Pathology Education in Pandemic

Virtual Microscopy for Pathology Education in Pandemic

Using Dynamic Virtual Microscopy to Train Pathology Residents During the Pandemic: Perspectives on Pathology Education in the Age of COVID-19 Paper by Drs. Robert J. Christian, MD, MS & Mandy VanSandt, DO (Oregon Health & Science University) Abstract: The...
AI Algorithms for Liver Fibrosis

AI Algorithms for Liver Fibrosis

Microscope-Based Automated Quantification of Liver Fibrosis in Mice Using a Deep Learning Algorithm AI Algorithms Developed by AIRA Matrix Within Augmentiqs  Abstract: In preclinical studies that involve animal models for hepatic fibrosis, accurate quantification of...
Why Microscopy will Remain a Cornerstone of Surgical Pathology

Why Microscopy will Remain a Cornerstone of Surgical Pathology

In honor of Dr. Juan Rosai (1940-2020), a paper written in 2007. “Recent years have seen increasing predictions of the demise of conventional microscopy in patient care and investigative medicine. However, these predictions fail to recognize the power of...
Utilization of AI for Fatty Liver

Utilization of AI for Fatty Liver

Abstract: Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood vessels and bile ducts, is an example where the traditional semiquantitative pathology assessment can be enhanced with artificial intelligence (AI) algorithms....
Enabling Technologies for AI in Toxicologic Pathology

Enabling Technologies for AI in Toxicologic Pathology

Augmentiqs Augmented Reality of Microscope Cited as Enabling Technology for Artificial Intelligence in Toxicologic Pathology The Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group, consisting of toxicologic pathologists from...